Reports

Track chatbot performance, web analytics, agent activity, and user engagement from a single dashboard — with real-time metrics and historical trends.

Overview

The Reports page is your central hub for understanding how your chatbot, agents, and website are performing. It combines real-time visitor counts with historical analytics so you can spot trends, measure agent effectiveness, and optimize your customer experience.

Web Analytics

Visitor behavior, traffic sources, engagement metrics, custom events, and an activity heatmap — all in one place.


Quick Stats

Online Users

Shows how many users are currently active on your chatbot. Click View to see detailed visitor information.


Agent Performance

Agent Statistics

Track how your agents are performing with response times and customer satisfaction ratings.

What you'll see:

  • Average response time in seconds
  • Star ratings from customers
  • Number of chats handled
  • Top performers list

How to use it:

  • Click on any agent name to see their detailed ratings and feedback
  • Use the date picker to analyze performance over different time periods
  • Expand Show all agents to see everyone on your team

Individual Agent Details

When you click on an agent from the main list, you'll see:

Agent Ratings & Feedback

A complete list of all customer ratings and comments for that specific agent.

Features:

  • All star ratings (1-5 stars) with visual display
  • Customer feedback and comments
  • Date when each rating was given
  • Direct links to open the specific chat conversations

Geographic Insights

Top Countries

See where your users are connecting from around the world.

What you'll see:

  • Country flags and names
  • Percentage of total sessions from each country
  • Progress bars showing relative usage
  • Total session counts

How to use it:

  • Identify your primary markets
  • Track international growth
  • Expand to see all countries (not just top 20)

Activity Charts

Agent Activity Timeline

Agent Chat Activity

Visualize when agents are joining chats and when the system requests help.

Two metrics tracked:

  • Agent Joins (blue bars): When agents actively start handling conversations
  • Agent Requests (green bars): When the system needs agent intervention

Features:

  • Hover over bars to see exact numbers
  • Choose different time periods (hourly, daily, weekly, monthly)
  • Select date ranges for focused analysis
  • Widget filter: Filter data by specific chatbot widgets or view all widgets
  • Unique per chat toggle: Choose whether to count each chat only once (on the day of its first event) or count all event occurrences. When enabled, each conversation is counted just once on the day it first involved an agent — perfect for tracking unique chat volume. When disabled, every agent interaction within a conversation is counted separately — useful for measuring total agent activity levels.
    Example scenarios:
    • Enabled (Unique per chat): A customer chat that spans 3 days with agent joins on each day counts as 1 event on the first day only
    • Disabled (All occurrences): That same 3-day chat with agent joins on each day counts as 3 separate events across the timeline

Usage Analytics

Cost Tracking

AI Usage

Monitor your AI service costs over time.

Shows daily spending on AI features in USD, helping you track and manage expenses.

User Engagement

Event Usage

Track overall user activity and page views.

Shows total interactions and engagement across your platform over time.

Chart features for both:

  • Line graphs showing trends
  • Total amounts displayed prominently
  • Interactive tooltips with exact values
  • Date range selection

Data Controls

Time Period Selection

Choose how you want to view your data:

  • Hourly: Detailed short-term analysis
  • Daily: Standard business view
  • Weekly: Trend analysis
  • Monthly: High-level overview

Date Ranges

Most sections include date pickers to focus on specific time periods.

Data Source Selection

Some charts include a "Fast/Slow fetching" option to access data from before September 12, 2024, if you need historical information from that period.

Tips for Effective Reporting

Monitor Agent Performance: Regularly check response times and ratings to identify training opportunities and recognize top performers.
Track Costs: Use the AI usage chart to monitor expenses and optimize your AI feature usage.
Understand Your Audience: Geographic data and web analytics help identify your primary markets and growth opportunities.
Analyze Peak Times: The activity heatmap and agent activity charts show when your site and team are busiest, helping with staffing decisions.
Review Customer Feedback: Click into individual agent pages to read detailed customer comments and improve service quality.
Automate with AI: You can also pull analytics data using Copilot or any MCP-compatible client. Try "Show me agent performance for the last 30 days" or "Compare this month's chatbot analytics with last month". See the Analytics Tools reference for all available operations.